| Best model | name | model_type | metric_type | metric_value | train_time | single_prediction_time |
|---|---|---|---|---|---|---|
| 1_Linear | Linear | f1 | 0.928889 | 15.97 | 0.0281 | |
| 2_Default_LightGBM | LightGBM | f1 | 0.962472 | 15.92 | 0.0132 | |
| 3_Default_Xgboost | Xgboost | f1 | 0.962306 | 16.69 | 0.0187 | |
| 4_Default_CatBoost | CatBoost | f1 | 0.964758 | 22.71 | 0.0245 | |
| 5_Default_NeuralNetwork | Neural Network | f1 | 0.933036 | 25.43 | 0.0276 | |
| 6_Default_RandomForest | Random Forest | f1 | 0.922414 | 19.4 | 0.1371 | |
| 11_LightGBM | LightGBM | f1 | 0.940171 | 15.79 | 0.0113 | |
| 7_Xgboost | Xgboost | f1 | 0.949227 | 16.08 | 0.0142 | |
| 15_CatBoost | CatBoost | f1 | 0.964444 | 14.99 | 0.0196 | |
| 19_RandomForest | Random Forest | f1 | 0.960177 | 18.01 | 0.1148 | |
| 23_NeuralNetwork | Neural Network | f1 | 0.941964 | 15.17 | 0.0328 | |
| 12_LightGBM | LightGBM | f1 | 0.967177 | 16.23 | 0.0114 | |
| 8_Xgboost | Xgboost | f1 | 0.962637 | 17.13 | 0.0187 | |
| 16_CatBoost | CatBoost | f1 | 0.962306 | 16.62 | 0.0145 | |
| 20_RandomForest | Random Forest | f1 | 0.925054 | 19.16 | 0.1358 | |
| 24_NeuralNetwork | Neural Network | f1 | 0.940133 | 15.97 | 0.03 | |
| 13_LightGBM | LightGBM | f1 | 0.966741 | 18.61 | 0.0121 | |
| 9_Xgboost | Xgboost | f1 | 0.895323 | 17.22 | 0.0154 | |
| 17_CatBoost | CatBoost | f1 | 0.966887 | 16.82 | 0.0138 | |
| 21_RandomForest | Random Forest | f1 | 0.904959 | 19.49 | 0.1574 | |
| 25_NeuralNetwork | Neural Network | f1 | 0.936819 | 17.51 | 0.0298 | |
| 14_LightGBM | LightGBM | f1 | 0.966887 | 19.25 | 0.0126 | |
| 10_Xgboost | Xgboost | f1 | 0.666667 | 17.26 | 0.0156 | |
| 18_CatBoost | CatBoost | f1 | 0.964758 | 17.67 | 0.0137 | |
| 22_RandomForest | Random Forest | f1 | 0.918919 | 19.75 | 0.1178 | |
| 26_NeuralNetwork | Neural Network | f1 | 0.942982 | 17.24 | 0.0277 | |
| 12_LightGBM_GoldenFeatures | LightGBM | f1 | 0.962306 | 18.34 | 0.0284 | |
| 14_LightGBM_GoldenFeatures | LightGBM | f1 | 0.964602 | 19.7 | 0.0278 | |
| 17_CatBoost_GoldenFeatures | CatBoost | f1 | 0.958242 | 18.21 | 0.0346 | |
| 12_LightGBM_RandomFeature | LightGBM | f1 | 0.964602 | 19.03 | 0.014 | |
| 27_LightGBM | LightGBM | f1 | 0.965066 | 19.07 | 0.0123 | |
| 28_LightGBM | LightGBM | f1 | 0.964602 | 19.5 | 0.0119 | |
| 29_CatBoost | CatBoost | f1 | 0.966741 | 18.16 | 0.0156 | |
| 30_CatBoost | CatBoost | f1 | 0.969565 | 18.75 | 0.0146 | |
| 31_Xgboost | Xgboost | f1 | 0.953846 | 19.22 | 0.0131 | |
| 32_Xgboost | Xgboost | f1 | 0.949227 | 19.15 | 0.0151 | |
| 33_RandomForest | Random Forest | f1 | 0.960177 | 20.82 | 0.145 | |
| 34_RandomForest | Random Forest | f1 | 0.942184 | 29.97 | 0.1295 | |
| 35_NeuralNetwork | Neural Network | f1 | 0.913319 | 23.52 | 0.0502 | |
| 36_NeuralNetwork | Neural Network | f1 | 0.913319 | 19.15 | 0.0301 | |
| 37_NeuralNetwork | Neural Network | f1 | 0.941964 | 19.5 | 0.0409 | |
| 38_NeuralNetwork | Neural Network | f1 | 0.9375 | 20.61 | 0.0284 | |
| 39_RandomForest | Random Forest | f1 | 0.958425 | 24.68 | 0.124 | |
| 40_RandomForest | Random Forest | f1 | 0.915464 | 25.32 | 0.2265 | |
| 41_CatBoost | CatBoost | f1 | 0.969565 | 25.52 | 0.0169 | |
| 42_CatBoost | CatBoost | f1 | 0.971302 | 25.03 | 0.0504 | |
| 43_CatBoost | CatBoost | f1 | 0.964602 | 24.46 | 0.0228 | |
| 44_CatBoost | CatBoost | f1 | 0.969027 | 26.49 | 0.0231 | |
| 45_RandomForest | Random Forest | f1 | 0.95614 | 25.63 | 0.2178 | |
| 46_RandomForest | Random Forest | f1 | 0.953437 | 28.85 | 0.1242 | |
| 47_NeuralNetwork | Neural Network | f1 | 0.942222 | 21.51 | 0.0517 | |
| 48_NeuralNetwork | Neural Network | f1 | 0.950893 | 23.37 | 0.0302 | |
| 49_NeuralNetwork | Neural Network | f1 | 0.941441 | 20.24 | 0.0388 | |
| 50_NeuralNetwork | Neural Network | f1 | 0.941964 | 25.1 | 0.0379 | |
| the best | Ensemble | Ensemble | f1 | 0.973568 | 7.54 | 0.1539 |
f1
16.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.693206 | nan |
| auc | 0.500868 | nan |
| f1 | 0.666667 | 0.452935 |
| accuracy | 0.502183 | 0.505075 |
| precision | 0.501818 | 0.505075 |
| recall | 1 | 0.452935 |
| mcc | 0.00445767 | 0.505075 |
| score | threshold | |
|---|---|---|
| logloss | 0.693206 | nan |
| auc | 0.500868 | nan |
| f1 | 0.547619 | 0.505075 |
| accuracy | 0.502183 | 0.505075 |
| precision | 0.501818 | 0.505075 |
| recall | 0.60262 | 0.505075 |
| mcc | 0.00445767 | 0.505075 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 92 | 137 |
| Labeled as 1 | 91 | 138 |
f1
15.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.333978 | nan |
| auc | 0.964922 | nan |
| f1 | 0.940171 | 0.494684 |
| accuracy | 0.938865 | 0.494684 |
| precision | 1 | 0.863332 |
| recall | 1 | 0.0302798 |
| mcc | 0.878567 | 0.494684 |
| score | threshold | |
|---|---|---|
| logloss | 0.333978 | nan |
| auc | 0.964922 | nan |
| f1 | 0.940171 | 0.494684 |
| accuracy | 0.938865 | 0.494684 |
| precision | 0.920502 | 0.494684 |
| recall | 0.960699 | 0.494684 |
| mcc | 0.878567 | 0.494684 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 210 | 19 |
| Labeled as 1 | 9 | 220 |
f1
15.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.217357 | nan |
| auc | 0.975277 | nan |
| f1 | 0.965066 | 0.484934 |
| accuracy | 0.965066 | 0.484934 |
| precision | 1 | 0.983528 |
| recall | 1 | 6.92688e-05 |
| mcc | 0.930131 | 0.484934 |
| score | threshold | |
|---|---|---|
| logloss | 0.217357 | nan |
| auc | 0.975277 | nan |
| f1 | 0.965066 | 0.484934 |
| accuracy | 0.965066 | 0.484934 |
| precision | 0.965066 | 0.484934 |
| recall | 0.965066 | 0.484934 |
| mcc | 0.930131 | 0.484934 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 8 | 221 |
f1
17.6 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.231695 | nan |
| auc | 0.974934 | nan |
| f1 | 0.96 | 0.509248 |
| accuracy | 0.960699 | 0.509248 |
| precision | 0.99422 | 0.767094 |
| recall | 1 | 0.0303221 |
| mcc | 0.92196 | 0.509248 |
| score | threshold | |
|---|---|---|
| logloss | 0.231695 | nan |
| auc | 0.974934 | nan |
| f1 | 0.96 | 0.509248 |
| accuracy | 0.960699 | 0.509248 |
| precision | 0.977376 | 0.509248 |
| recall | 0.943231 | 0.509248 |
| mcc | 0.92196 | 0.509248 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 224 | 5 |
| Labeled as 1 | 13 | 216 |
f1
18.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.243977 | nan |
| auc | 0.975191 | nan |
| f1 | 0.960352 | 0.483092 |
| accuracy | 0.960699 | 0.483092 |
| precision | 0.993464 | 0.762315 |
| recall | 1 | 0.000145718 |
| mcc | 0.92196 | 0.522099 |
| score | threshold | |
|---|---|---|
| logloss | 0.243977 | nan |
| auc | 0.975191 | nan |
| f1 | 0.960352 | 0.483092 |
| accuracy | 0.960699 | 0.483092 |
| precision | 0.968889 | 0.483092 |
| recall | 0.951965 | 0.483092 |
| mcc | 0.921538 | 0.483092 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 11 | 218 |
f1
17.9 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.239979 | nan |
| auc | 0.979482 | nan |
| f1 | 0.964444 | 0.503711 |
| accuracy | 0.965066 | 0.503711 |
| precision | 0.994083 | 0.757501 |
| recall | 1 | 0.00133263 |
| mcc | 0.930699 | 0.503711 |
| score | threshold | |
|---|---|---|
| logloss | 0.239979 | nan |
| auc | 0.979482 | nan |
| f1 | 0.964444 | 0.503711 |
| accuracy | 0.965066 | 0.503711 |
| precision | 0.9819 | 0.503711 |
| recall | 0.947598 | 0.503711 |
| mcc | 0.930699 | 0.503711 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 225 | 4 |
| Labeled as 1 | 12 | 217 |
f1
18.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.176663 | nan |
| auc | 0.977251 | nan |
| f1 | 0.964758 | 0.493538 |
| accuracy | 0.965066 | 0.493538 |
| precision | 1 | 0.948169 |
| recall | 1 | 0.00591764 |
| mcc | 0.930273 | 0.493538 |
| score | threshold | |
|---|---|---|
| logloss | 0.176663 | nan |
| auc | 0.977251 | nan |
| f1 | 0.964758 | 0.493538 |
| accuracy | 0.965066 | 0.493538 |
| precision | 0.973333 | 0.493538 |
| recall | 0.956332 | 0.493538 |
| mcc | 0.930273 | 0.493538 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 10 | 219 |
f1
18.9 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.221495 | nan |
| auc | 0.9748 | nan |
| f1 | 0.962472 | 0.442244 |
| accuracy | 0.962882 | 0.442244 |
| precision | 1 | 0.971919 |
| recall | 1 | 0.00614362 |
| mcc | 0.925985 | 0.442244 |
| score | threshold | |
|---|---|---|
| logloss | 0.221495 | nan |
| auc | 0.9748 | nan |
| f1 | 0.962472 | 0.442244 |
| accuracy | 0.962882 | 0.442244 |
| precision | 0.973214 | 0.442244 |
| recall | 0.951965 | 0.442244 |
| mcc | 0.925985 | 0.442244 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 11 | 218 |
f1
14.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.414492 | nan |
| auc | 0.980521 | nan |
| f1 | 0.964444 | 0.499648 |
| accuracy | 0.965066 | 0.499648 |
| precision | 1 | 0.601474 |
| recall | 1 | 0.0733196 |
| mcc | 0.930699 | 0.499648 |
| score | threshold | |
|---|---|---|
| logloss | 0.414492 | nan |
| auc | 0.980521 | nan |
| f1 | 0.964444 | 0.499648 |
| accuracy | 0.965066 | 0.499648 |
| precision | 0.9819 | 0.499648 |
| recall | 0.947598 | 0.499648 |
| mcc | 0.930699 | 0.499648 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 225 | 4 |
| Labeled as 1 | 12 | 217 |
f1
16.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.270494 | nan |
| auc | 0.979739 | nan |
| f1 | 0.960352 | 0.482133 |
| accuracy | 0.960699 | 0.482133 |
| precision | 1 | 0.843889 |
| recall | 1 | 0.0100179 |
| mcc | 0.92196 | 0.50076 |
| score | threshold | |
|---|---|---|
| logloss | 0.270494 | nan |
| auc | 0.979739 | nan |
| f1 | 0.960352 | 0.482133 |
| accuracy | 0.960699 | 0.482133 |
| precision | 0.968889 | 0.482133 |
| recall | 0.951965 | 0.482133 |
| mcc | 0.921538 | 0.482133 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 11 | 218 |
f1
16.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.256123 | nan |
| auc | 0.984135 | nan |
| f1 | 0.964758 | 0.476858 |
| accuracy | 0.965066 | 0.476858 |
| precision | 1 | 0.853906 |
| recall | 1 | 0.0101198 |
| mcc | 0.930273 | 0.476858 |
| score | threshold | |
|---|---|---|
| logloss | 0.256123 | nan |
| auc | 0.984135 | nan |
| f1 | 0.964758 | 0.476858 |
| accuracy | 0.965066 | 0.476858 |
| precision | 0.973333 | 0.476858 |
| recall | 0.956332 | 0.476858 |
| mcc | 0.930273 | 0.476858 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 10 | 219 |
f1
17.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.212563 | nan |
| auc | 0.982847 | nan |
| f1 | 0.956332 | 0.480383 |
| accuracy | 0.956332 | 0.480383 |
| precision | 1 | 0.842453 |
| recall | 1 | 0.0150311 |
| mcc | 0.912803 | 0.523701 |
| score | threshold | |
|---|---|---|
| logloss | 0.212563 | nan |
| auc | 0.982847 | nan |
| f1 | 0.956332 | 0.480383 |
| accuracy | 0.956332 | 0.480383 |
| precision | 0.956332 | 0.480383 |
| recall | 0.956332 | 0.480383 |
| mcc | 0.912664 | 0.480383 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 10 | 219 |
f1
17.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.200394 | nan |
| auc | 0.985107 | nan |
| f1 | 0.964758 | 0.502573 |
| accuracy | 0.965066 | 0.502573 |
| precision | 1 | 0.854009 |
| recall | 1 | 0.00343254 |
| mcc | 0.930273 | 0.502573 |
| score | threshold | |
|---|---|---|
| logloss | 0.200394 | nan |
| auc | 0.985107 | nan |
| f1 | 0.964758 | 0.502573 |
| accuracy | 0.965066 | 0.502573 |
| precision | 0.973333 | 0.502573 |
| recall | 0.956332 | 0.502573 |
| mcc | 0.930273 | 0.502573 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 10 | 219 |
f1
17.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.209104 | nan |
| auc | 0.980826 | nan |
| f1 | 0.955947 | 0.484429 |
| accuracy | 0.956332 | 0.484429 |
| precision | 1 | 0.945715 |
| recall | 1 | 0.0191015 |
| mcc | 0.913221 | 0.510067 |
| score | threshold | |
|---|---|---|
| logloss | 0.209104 | nan |
| auc | 0.980826 | nan |
| f1 | 0.955947 | 0.484429 |
| accuracy | 0.956332 | 0.484429 |
| precision | 0.964444 | 0.484429 |
| recall | 0.947598 | 0.484429 |
| mcc | 0.912803 | 0.484429 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 12 | 217 |
f1
15.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.192042 | nan |
| auc | 0.974028 | nan |
| f1 | 0.941176 | 0.538017 |
| accuracy | 0.943231 | 0.538017 |
| precision | 1 | 0.88594 |
| recall | 1 | 0.00697453 |
| mcc | 0.888635 | 0.538017 |
| score | threshold | |
|---|---|---|
| logloss | 0.192042 | nan |
| auc | 0.974028 | nan |
| f1 | 0.941176 | 0.538017 |
| accuracy | 0.943231 | 0.538017 |
| precision | 0.976526 | 0.538017 |
| recall | 0.908297 | 0.538017 |
| mcc | 0.888635 | 0.538017 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 224 | 5 |
| Labeled as 1 | 21 | 208 |
| feature | Learner_1 | Learner_2 | Learner_3 | Learner_4 | Learner_5 |
|---|---|---|---|---|---|
| PEER_PRESSURE | 2.09855 | 1.97751 | 2.10596 | 2.24214 | 2.11845 |
| ALLERGY | 1.71851 | 1.8115 | 1.80494 | 1.6434 | 1.99987 |
| CHRONIC DISEASE | 1.87657 | 1.63242 | 1.72145 | 1.71654 | 1.80335 |
| YELLOW_FINGERS | 1.60769 | 1.59401 | 1.57961 | 1.70178 | 1.69653 |
| SWALLOWING DIFFICULTY | 1.54115 | 1.39416 | 1.52935 | 1.57504 | 1.50732 |
| COUGHING | 1.6269 | 1.44695 | 1.61924 | 1.30983 | 1.45889 |
| WHEEZING | 1.39098 | 1.33944 | 1.35351 | 1.6218 | 1.23305 |
| ALCOHOL CONSUMING | 1.2172 | 1.51097 | 1.01974 | 1.43756 | 1.6208 |
| FATIGUE | 1.22949 | 1.23666 | 1.24562 | 1.05542 | 1.27239 |
| ANXIETY | 0.676465 | 1.11655 | 0.820949 | 1.03973 | 0.927658 |
| CHEST PAIN | 0.451082 | 0.609851 | 0.301484 | 0.389733 | 0.68452 |
| SMOKING | 0.404751 | 0.352542 | 0.398707 | 0.489795 | 0.317827 |
| SHORTNESS OF BREATH | 0.222579 | 0.360146 | 0.254631 | 0.399099 | 0.113896 |
| AGE | -0.0683001 | 0.0651653 | 0.0293103 | -0.0196802 | 0.14053 |
| GENDER | -0.0705105 | -0.180772 | -0.240995 | -0.128562 | 0.147742 |
| intercept | -4.88958 | -5.06286 | -4.78165 | -5.16035 | -5.28215 |
f1
18.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.24046 | nan |
| auc | 0.976879 | nan |
| f1 | 0.927039 | 0.504373 |
| accuracy | 0.925764 | 0.504373 |
| precision | 1 | 0.70647 |
| recall | 1 | 0 |
| mcc | 0.852048 | 0.504373 |
| score | threshold | |
|---|---|---|
| logloss | 0.24046 | nan |
| auc | 0.976879 | nan |
| f1 | 0.927039 | 0.504373 |
| accuracy | 0.925764 | 0.504373 |
| precision | 0.911392 | 0.504373 |
| recall | 0.943231 | 0.504373 |
| mcc | 0.852048 | 0.504373 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 208 | 21 |
| Labeled as 1 | 13 | 216 |
f1
18.7 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.297998 | nan |
| auc | 0.945911 | nan |
| f1 | 0.904959 | 0.494248 |
| accuracy | 0.899563 | 0.494248 |
| precision | 1 | 0.796151 |
| recall | 1 | 0.0269788 |
| mcc | 0.804328 | 0.494248 |
| score | threshold | |
|---|---|---|
| logloss | 0.297998 | nan |
| auc | 0.945911 | nan |
| f1 | 0.904959 | 0.494248 |
| accuracy | 0.899563 | 0.494248 |
| precision | 0.858824 | 0.494248 |
| recall | 0.956332 | 0.494248 |
| mcc | 0.804328 | 0.494248 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 193 | 36 |
| Labeled as 1 | 10 | 219 |
f1
19.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.325746 | nan |
| auc | 0.955426 | nan |
| f1 | 0.918919 | 0.498894 |
| accuracy | 0.914847 | 0.498894 |
| precision | 1 | 0.8082 |
| recall | 0.995633 | 0 |
| mcc | 0.833911 | 0.498894 |
| score | threshold | |
|---|---|---|
| logloss | 0.325746 | nan |
| auc | 0.955426 | nan |
| f1 | 0.918919 | 0.498894 |
| accuracy | 0.914847 | 0.498894 |
| precision | 0.876984 | 0.498894 |
| recall | 0.965066 | 0.498894 |
| mcc | 0.833911 | 0.498894 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 198 | 31 |
| Labeled as 1 | 8 | 221 |
f1
14.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.232964 | nan |
| auc | 0.976917 | nan |
| f1 | 0.944321 | 0.492837 |
| accuracy | 0.945415 | 0.492837 |
| precision | 1 | 0.99338 |
| recall | 1 | 6.41845e-12 |
| mcc | 0.891518 | 0.492837 |
| score | threshold | |
|---|---|---|
| logloss | 0.232964 | nan |
| auc | 0.976917 | nan |
| f1 | 0.944321 | 0.492837 |
| accuracy | 0.945415 | 0.492837 |
| precision | 0.963636 | 0.492837 |
| recall | 0.925764 | 0.492837 |
| mcc | 0.891518 | 0.492837 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 17 | 212 |
f1
15.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.192402 | nan |
| auc | 0.974066 | nan |
| f1 | 0.944321 | 0.509772 |
| accuracy | 0.945415 | 0.509772 |
| precision | 1 | 0.999026 |
| recall | 1 | 0.000268946 |
| mcc | 0.891518 | 0.509772 |
| score | threshold | |
|---|---|---|
| logloss | 0.192402 | nan |
| auc | 0.974066 | nan |
| f1 | 0.944321 | 0.509772 |
| accuracy | 0.945415 | 0.509772 |
| precision | 0.963636 | 0.509772 |
| recall | 0.925764 | 0.509772 |
| mcc | 0.891518 | 0.509772 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 17 | 212 |
f1
16.7 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.244839 | nan |
| auc | 0.966877 | nan |
| f1 | 0.938865 | 0.505872 |
| accuracy | 0.938865 | 0.505872 |
| precision | 1 | 0.991168 |
| recall | 1 | 4.76261e-06 |
| mcc | 0.877863 | 0.551479 |
| score | threshold | |
|---|---|---|
| logloss | 0.244839 | nan |
| auc | 0.966877 | nan |
| f1 | 0.938865 | 0.505872 |
| accuracy | 0.938865 | 0.505872 |
| precision | 0.938865 | 0.505872 |
| recall | 0.938865 | 0.505872 |
| mcc | 0.877729 | 0.505872 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 215 | 14 |
| Labeled as 1 | 14 | 215 |
f1
16.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.190663 | nan |
| auc | 0.979119 | nan |
| f1 | 0.947598 | 0.46477 |
| accuracy | 0.947598 | 0.46477 |
| precision | 1 | 0.999892 |
| recall | 1 | 4.76882e-06 |
| mcc | 0.895197 | 0.46477 |
| score | threshold | |
|---|---|---|
| logloss | 0.190663 | nan |
| auc | 0.979119 | nan |
| f1 | 0.947598 | 0.46477 |
| accuracy | 0.947598 | 0.46477 |
| precision | 0.947598 | 0.46477 |
| recall | 0.947598 | 0.46477 |
| mcc | 0.895197 | 0.46477 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 217 | 12 |
| Labeled as 1 | 12 | 217 |
f1
18.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.146197 | nan |
| auc | 0.981894 | nan |
| f1 | 0.965066 | 0.502471 |
| accuracy | 0.965066 | 0.502471 |
| precision | 1 | 0.978055 |
| recall | 1 | 0.000414117 |
| mcc | 0.930131 | 0.502471 |
| score | threshold | |
|---|---|---|
| logloss | 0.146197 | nan |
| auc | 0.981894 | nan |
| f1 | 0.965066 | 0.502471 |
| accuracy | 0.965066 | 0.502471 |
| precision | 0.965066 | 0.502471 |
| recall | 0.965066 | 0.502471 |
| mcc | 0.930131 | 0.502471 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 8 | 221 |
f1
18.8 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.185771 | nan |
| auc | 0.977575 | nan |
| f1 | 0.960352 | 0.468831 |
| accuracy | 0.960699 | 0.468831 |
| precision | 1 | 0.95207 |
| recall | 1 | 0.0219251 |
| mcc | 0.92196 | 0.508432 |
| score | threshold | |
|---|---|---|
| logloss | 0.185771 | nan |
| auc | 0.977575 | nan |
| f1 | 0.960352 | 0.468831 |
| accuracy | 0.960699 | 0.468831 |
| precision | 0.968889 | 0.468831 |
| recall | 0.951965 | 0.468831 |
| mcc | 0.921538 | 0.468831 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 11 | 218 |
f1
17.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.274684 | nan |
| auc | 0.982857 | nan |
| f1 | 0.964444 | 0.50655 |
| accuracy | 0.965066 | 0.50655 |
| precision | 0.990826 | 0.774811 |
| recall | 1 | 0.00625214 |
| mcc | 0.930699 | 0.50655 |
| score | threshold | |
|---|---|---|
| logloss | 0.274684 | nan |
| auc | 0.982857 | nan |
| f1 | 0.964444 | 0.50655 |
| accuracy | 0.965066 | 0.50655 |
| precision | 0.9819 | 0.50655 |
| recall | 0.947598 | 0.50655 |
| mcc | 0.930699 | 0.50655 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 225 | 4 |
| Labeled as 1 | 12 | 217 |
f1
15.2 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.214128 | nan |
| auc | 0.975992 | nan |
| f1 | 0.960352 | 0.491788 |
| accuracy | 0.960699 | 0.491788 |
| precision | 0.994709 | 0.749729 |
| recall | 1 | 0.016086 |
| mcc | 0.921538 | 0.491788 |
| score | threshold | |
|---|---|---|
| logloss | 0.214128 | nan |
| auc | 0.975992 | nan |
| f1 | 0.960352 | 0.491788 |
| accuracy | 0.960699 | 0.491788 |
| precision | 0.968889 | 0.491788 |
| recall | 0.951965 | 0.491788 |
| mcc | 0.921538 | 0.491788 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 11 | 218 |
f1
18.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.261866 | nan |
| auc | 0.979215 | nan |
| f1 | 0.965368 | 0.47603 |
| accuracy | 0.965066 | 0.47603 |
| precision | 1 | 0.895824 |
| recall | 1 | 0.0031013 |
| mcc | 0.930273 | 0.47603 |
| score | threshold | |
|---|---|---|
| logloss | 0.261866 | nan |
| auc | 0.979215 | nan |
| f1 | 0.965368 | 0.47603 |
| accuracy | 0.965066 | 0.47603 |
| precision | 0.957082 | 0.47603 |
| recall | 0.973799 | 0.47603 |
| mcc | 0.930273 | 0.47603 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 6 | 223 |
f1
18.6 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.262015 | nan |
| auc | 0.974619 | nan |
| f1 | 0.951965 | 0.488125 |
| accuracy | 0.951965 | 0.488125 |
| precision | 1 | 0.925955 |
| recall | 1 | 0.00842946 |
| mcc | 0.904068 | 0.5026 |
| score | threshold | |
|---|---|---|
| logloss | 0.262015 | nan |
| auc | 0.974619 | nan |
| f1 | 0.951965 | 0.488125 |
| accuracy | 0.951965 | 0.488125 |
| precision | 0.951965 | 0.488125 |
| recall | 0.951965 | 0.488125 |
| mcc | 0.90393 | 0.488125 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 218 | 11 |
| Labeled as 1 | 11 | 218 |
f1
18.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.2715 | nan |
| auc | 0.972054 | nan |
| f1 | 0.947137 | 0.494361 |
| accuracy | 0.947598 | 0.494361 |
| precision | 1 | 0.928547 |
| recall | 1 | 0.0124766 |
| mcc | 0.895333 | 0.494361 |
| score | threshold | |
|---|---|---|
| logloss | 0.2715 | nan |
| auc | 0.972054 | nan |
| f1 | 0.947137 | 0.494361 |
| accuracy | 0.947598 | 0.494361 |
| precision | 0.955556 | 0.494361 |
| recall | 0.938865 | 0.494361 |
| mcc | 0.895333 | 0.494361 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 14 | 215 |
f1
20.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.200104 | nan |
| auc | 0.978833 | nan |
| f1 | 0.955947 | 0.470352 |
| accuracy | 0.956332 | 0.470352 |
| precision | 1 | 0.902146 |
| recall | 1 | 0.0139463 |
| mcc | 0.913221 | 0.510375 |
| score | threshold | |
|---|---|---|
| logloss | 0.200104 | nan |
| auc | 0.978833 | nan |
| f1 | 0.955947 | 0.470352 |
| accuracy | 0.956332 | 0.470352 |
| precision | 0.964444 | 0.470352 |
| recall | 0.947598 | 0.470352 |
| mcc | 0.912803 | 0.470352 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 12 | 217 |
f1
29.1 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.246522 | nan |
| auc | 0.976659 | nan |
| f1 | 0.940133 | 0.575554 |
| accuracy | 0.941048 | 0.575554 |
| precision | 1 | 0.762099 |
| recall | 1 | 0.015909 |
| mcc | 0.882508 | 0.575554 |
| score | threshold | |
|---|---|---|
| logloss | 0.246522 | nan |
| auc | 0.976659 | nan |
| f1 | 0.940133 | 0.575554 |
| accuracy | 0.941048 | 0.575554 |
| precision | 0.954955 | 0.575554 |
| recall | 0.925764 | 0.575554 |
| mcc | 0.882508 | 0.575554 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 17 | 212 |
f1
22.6 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.24037 | nan |
| auc | 0.973742 | nan |
| f1 | 0.926407 | 0.540293 |
| accuracy | 0.925764 | 0.540293 |
| precision | 1 | 0.983783 |
| recall | 1 | 1.60164e-05 |
| mcc | 0.851658 | 0.540293 |
| score | threshold | |
|---|---|---|
| logloss | 0.24037 | nan |
| auc | 0.973742 | nan |
| f1 | 0.926407 | 0.540293 |
| accuracy | 0.925764 | 0.540293 |
| precision | 0.918455 | 0.540293 |
| recall | 0.934498 | 0.540293 |
| mcc | 0.851658 | 0.540293 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 210 | 19 |
| Labeled as 1 | 15 | 214 |
f1
18.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.231553 | nan |
| auc | 0.974829 | nan |
| f1 | 0.943231 | 0.629602 |
| accuracy | 0.943231 | 0.629602 |
| precision | 1 | 0.999927 |
| recall | 1 | 1.97928e-06 |
| mcc | 0.886463 | 0.629602 |
| score | threshold | |
|---|---|---|
| logloss | 0.231553 | nan |
| auc | 0.974829 | nan |
| f1 | 0.943231 | 0.629602 |
| accuracy | 0.943231 | 0.629602 |
| precision | 0.943231 | 0.629602 |
| recall | 0.943231 | 0.629602 |
| mcc | 0.886463 | 0.629602 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 216 | 13 |
| Labeled as 1 | 13 | 216 |
f1
18.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.170013 | nan |
| auc | 0.982418 | nan |
| f1 | 0.941704 | 0.624584 |
| accuracy | 0.943231 | 0.624584 |
| precision | 1 | 0.99965 |
| recall | 1 | 4.58067e-09 |
| mcc | 0.887682 | 0.624584 |
| score | threshold | |
|---|---|---|
| logloss | 0.170013 | nan |
| auc | 0.982418 | nan |
| f1 | 0.941704 | 0.624584 |
| accuracy | 0.943231 | 0.624584 |
| precision | 0.967742 | 0.624584 |
| recall | 0.917031 | 0.624584 |
| mcc | 0.887682 | 0.624584 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 19 | 210 |
f1
19.9 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.272124 | nan |
| auc | 0.970729 | nan |
| f1 | 0.9375 | 0.494036 |
| accuracy | 0.938865 | 0.494036 |
| precision | 0.99115 | 0.992942 |
| recall | 1 | 1.50593e-14 |
| mcc | 0.878567 | 0.494036 |
| score | threshold | |
|---|---|---|
| logloss | 0.272124 | nan |
| auc | 0.970729 | nan |
| f1 | 0.9375 | 0.494036 |
| accuracy | 0.938865 | 0.494036 |
| precision | 0.958904 | 0.494036 |
| recall | 0.917031 | 0.494036 |
| mcc | 0.878567 | 0.494036 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 220 | 9 |
| Labeled as 1 | 19 | 210 |
f1
24.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.238848 | nan |
| auc | 0.98177 | nan |
| f1 | 0.96 | 0.515969 |
| accuracy | 0.960699 | 0.515969 |
| precision | 1 | 0.823299 |
| recall | 0.995633 | 0 |
| mcc | 0.92196 | 0.515969 |
| score | threshold | |
|---|---|---|
| logloss | 0.238848 | nan |
| auc | 0.98177 | nan |
| f1 | 0.96 | 0.515969 |
| accuracy | 0.960699 | 0.515969 |
| precision | 0.977376 | 0.515969 |
| recall | 0.943231 | 0.515969 |
| mcc | 0.92196 | 0.515969 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 224 | 5 |
| Labeled as 1 | 13 | 216 |
f1
14.9 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.219171 | nan |
| auc | 0.97993 | nan |
| f1 | 0.96 | 0.502143 |
| accuracy | 0.960699 | 0.502143 |
| precision | 1 | 0.900012 |
| recall | 1 | 0.0039506 |
| mcc | 0.92196 | 0.502143 |
| score | threshold | |
|---|---|---|
| logloss | 0.219171 | nan |
| auc | 0.97993 | nan |
| f1 | 0.96 | 0.502143 |
| accuracy | 0.960699 | 0.502143 |
| precision | 0.977376 | 0.502143 |
| recall | 0.943231 | 0.502143 |
| mcc | 0.92196 | 0.502143 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 224 | 5 |
| Labeled as 1 | 13 | 216 |
f1
24.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.302278 | nan |
| auc | 0.969699 | nan |
| f1 | 0.916844 | 0.5789 |
| accuracy | 0.917031 | 0.614978 |
| precision | 1 | 0.700223 |
| recall | 0.995633 | 0 |
| mcc | 0.834093 | 0.614978 |
| score | threshold | |
|---|---|---|
| logloss | 0.302278 | nan |
| auc | 0.969699 | nan |
| f1 | 0.916667 | 0.614978 |
| accuracy | 0.917031 | 0.614978 |
| precision | 0.920705 | 0.614978 |
| recall | 0.912664 | 0.614978 |
| mcc | 0.834093 | 0.614978 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 211 | 18 |
| Labeled as 1 | 20 | 209 |
f1
24.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.313584 | nan |
| auc | 0.98055 | nan |
| f1 | 0.967462 | 0.488123 |
| accuracy | 0.967249 | 0.488123 |
| precision | 1 | 0.839432 |
| recall | 1 | 0.010725 |
| mcc | 0.934578 | 0.488123 |
| score | threshold | |
|---|---|---|
| logloss | 0.313584 | nan |
| auc | 0.98055 | nan |
| f1 | 0.967462 | 0.488123 |
| accuracy | 0.967249 | 0.488123 |
| precision | 0.961207 | 0.488123 |
| recall | 0.973799 | 0.488123 |
| mcc | 0.934578 | 0.488123 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 220 | 9 |
| Labeled as 1 | 6 | 223 |
f1
24.0 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.21084 | nan |
| auc | 0.98135 | nan |
| f1 | 0.969163 | 0.48637 |
| accuracy | 0.969432 | 0.48637 |
| precision | 0.993056 | 0.825665 |
| recall | 1 | 0.00300853 |
| mcc | 0.939008 | 0.48637 |
| score | threshold | |
|---|---|---|
| logloss | 0.21084 | nan |
| auc | 0.98135 | nan |
| f1 | 0.969163 | 0.48637 |
| accuracy | 0.969432 | 0.48637 |
| precision | 0.977778 | 0.48637 |
| recall | 0.960699 | 0.48637 |
| mcc | 0.939008 | 0.48637 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 224 | 5 |
| Labeled as 1 | 9 | 220 |
f1
23.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.364569 | nan |
| auc | 0.98669 | nan |
| f1 | 0.964444 | 0.503354 |
| accuracy | 0.965066 | 0.503354 |
| precision | 1 | 0.69765 |
| recall | 1 | 0.0636831 |
| mcc | 0.930699 | 0.503354 |
| score | threshold | |
|---|---|---|
| logloss | 0.364569 | nan |
| auc | 0.98669 | nan |
| f1 | 0.964444 | 0.503354 |
| accuracy | 0.965066 | 0.503354 |
| precision | 0.9819 | 0.503354 |
| recall | 0.947598 | 0.503354 |
| mcc | 0.930699 | 0.503354 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 225 | 4 |
| Labeled as 1 | 12 | 217 |
f1
25.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.193794 | nan |
| auc | 0.98586 | nan |
| f1 | 0.964758 | 0.490216 |
| accuracy | 0.965066 | 0.490216 |
| precision | 1 | 0.907102 |
| recall | 1 | 0.00197536 |
| mcc | 0.930699 | 0.518251 |
| score | threshold | |
|---|---|---|
| logloss | 0.193794 | nan |
| auc | 0.98586 | nan |
| f1 | 0.964758 | 0.490216 |
| accuracy | 0.965066 | 0.490216 |
| precision | 0.973333 | 0.490216 |
| recall | 0.956332 | 0.490216 |
| mcc | 0.930273 | 0.490216 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 10 | 219 |
f1
24.9 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.204846 | nan |
| auc | 0.981894 | nan |
| f1 | 0.951965 | 0.497618 |
| accuracy | 0.951965 | 0.497618 |
| precision | 1 | 0.822999 |
| recall | 1 | 0.0106853 |
| mcc | 0.904068 | 0.504971 |
| score | threshold | |
|---|---|---|
| logloss | 0.204846 | nan |
| auc | 0.981894 | nan |
| f1 | 0.951965 | 0.497618 |
| accuracy | 0.951965 | 0.497618 |
| precision | 0.951965 | 0.497618 |
| recall | 0.951965 | 0.497618 |
| mcc | 0.90393 | 0.497618 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 218 | 11 |
| Labeled as 1 | 11 | 218 |
f1
27.9 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.216484 | nan |
| auc | 0.971091 | nan |
| f1 | 0.951111 | 0.506118 |
| accuracy | 0.951965 | 0.506118 |
| precision | 1 | 0.906444 |
| recall | 1 | 0.00371901 |
| mcc | 0.904482 | 0.506118 |
| score | threshold | |
|---|---|---|
| logloss | 0.216484 | nan |
| auc | 0.971091 | nan |
| f1 | 0.951111 | 0.506118 |
| accuracy | 0.951965 | 0.506118 |
| precision | 0.968326 | 0.506118 |
| recall | 0.934498 | 0.506118 |
| mcc | 0.904482 | 0.506118 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 15 | 214 |
f1
20.7 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.171276 | nan |
| auc | 0.984325 | nan |
| f1 | 0.946188 | 0.579088 |
| accuracy | 0.947598 | 0.579088 |
| precision | 1 | 0.993917 |
| recall | 1 | 1.43029e-10 |
| mcc | 0.896428 | 0.579088 |
| score | threshold | |
|---|---|---|
| logloss | 0.171276 | nan |
| auc | 0.984325 | nan |
| f1 | 0.946188 | 0.579088 |
| accuracy | 0.947598 | 0.579088 |
| precision | 0.97235 | 0.579088 |
| recall | 0.921397 | 0.579088 |
| mcc | 0.896428 | 0.579088 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 223 | 6 |
| Labeled as 1 | 18 | 211 |
f1
22.5 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.182067 | nan |
| auc | 0.979634 | nan |
| f1 | 0.951111 | 0.489905 |
| accuracy | 0.951965 | 0.489905 |
| precision | 1 | 0.994085 |
| recall | 1 | 3.67545e-05 |
| mcc | 0.904482 | 0.489905 |
| score | threshold | |
|---|---|---|
| logloss | 0.182067 | nan |
| auc | 0.979634 | nan |
| f1 | 0.951111 | 0.489905 |
| accuracy | 0.951965 | 0.489905 |
| precision | 0.968326 | 0.489905 |
| recall | 0.934498 | 0.489905 |
| mcc | 0.904482 | 0.489905 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 15 | 214 |
f1
19.3 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.223506 | nan |
| auc | 0.972941 | nan |
| f1 | 0.947137 | 0.439385 |
| accuracy | 0.947598 | 0.439385 |
| precision | 0.993789 | 0.926364 |
| recall | 1 | 0.00408889 |
| mcc | 0.896428 | 0.495458 |
| score | threshold | |
|---|---|---|
| logloss | 0.223506 | nan |
| auc | 0.972941 | nan |
| f1 | 0.947137 | 0.439385 |
| accuracy | 0.947598 | 0.439385 |
| precision | 0.955556 | 0.439385 |
| recall | 0.938865 | 0.439385 |
| mcc | 0.895333 | 0.439385 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 14 | 215 |
f1
21.6 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.164819 | nan |
| auc | 0.984363 | nan |
| f1 | 0.965066 | 0.400685 |
| accuracy | 0.965066 | 0.400685 |
| precision | 1 | 0.956465 |
| recall | 1 | 0.00483837 |
| mcc | 0.930273 | 0.500385 |
| score | threshold | |
|---|---|---|
| logloss | 0.164819 | nan |
| auc | 0.984363 | nan |
| f1 | 0.965066 | 0.400685 |
| accuracy | 0.965066 | 0.400685 |
| precision | 0.965066 | 0.400685 |
| recall | 0.965066 | 0.400685 |
| mcc | 0.930131 | 0.400685 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 221 | 8 |
| Labeled as 1 | 8 | 221 |
f1
23.8 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.180569 | nan |
| auc | 0.976688 | nan |
| f1 | 0.941704 | 0.523118 |
| accuracy | 0.943231 | 0.523118 |
| precision | 1 | 0.977751 |
| recall | 1 | 0.00153578 |
| mcc | 0.888635 | 0.673509 |
| score | threshold | |
|---|---|---|
| logloss | 0.180569 | nan |
| auc | 0.976688 | nan |
| f1 | 0.941704 | 0.523118 |
| accuracy | 0.943231 | 0.523118 |
| precision | 0.967742 | 0.523118 |
| recall | 0.917031 | 0.523118 |
| mcc | 0.887682 | 0.523118 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 19 | 210 |
f1
24.2 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.261498 | nan |
| auc | 0.969814 | nan |
| f1 | 0.942731 | 0.422963 |
| accuracy | 0.943231 | 0.422963 |
| precision | 1 | 0.999584 |
| recall | 1 | 2.82294e-13 |
| mcc | 0.886598 | 0.422963 |
| score | threshold | |
|---|---|---|
| logloss | 0.261498 | nan |
| auc | 0.969814 | nan |
| f1 | 0.942731 | 0.422963 |
| accuracy | 0.943231 | 0.422963 |
| precision | 0.951111 | 0.422963 |
| recall | 0.934498 | 0.422963 |
| mcc | 0.886598 | 0.422963 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 218 | 11 |
| Labeled as 1 | 15 | 214 |
f1
18.7 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.250242 | nan |
| auc | 0.968021 | nan |
| f1 | 0.922078 | 0.524125 |
| accuracy | 0.921397 | 0.524125 |
| precision | 1 | 0.881013 |
| recall | 1 | 0.0074135 |
| mcc | 0.842923 | 0.524125 |
| score | threshold | |
|---|---|---|
| logloss | 0.250242 | nan |
| auc | 0.968021 | nan |
| f1 | 0.922078 | 0.524125 |
| accuracy | 0.921397 | 0.524125 |
| precision | 0.914163 | 0.524125 |
| recall | 0.930131 | 0.524125 |
| mcc | 0.842923 | 0.524125 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 209 | 20 |
| Labeled as 1 | 16 | 213 |
f1
15.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.2715 | nan |
| auc | 0.972054 | nan |
| f1 | 0.947137 | 0.494361 |
| accuracy | 0.947598 | 0.494361 |
| precision | 1 | 0.928547 |
| recall | 1 | 0.0124766 |
| mcc | 0.895333 | 0.494361 |
| score | threshold | |
|---|---|---|
| logloss | 0.2715 | nan |
| auc | 0.972054 | nan |
| f1 | 0.947137 | 0.494361 |
| accuracy | 0.947598 | 0.494361 |
| precision | 0.955556 | 0.494361 |
| recall | 0.938865 | 0.494361 |
| mcc | 0.895333 | 0.494361 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 219 | 10 |
| Labeled as 1 | 14 | 215 |
f1
16.4 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.168495 | nan |
| auc | 0.981532 | nan |
| f1 | 0.960352 | 0.500813 |
| accuracy | 0.960699 | 0.500813 |
| precision | 1 | 0.922634 |
| recall | 1 | 0.00120099 |
| mcc | 0.921538 | 0.500813 |
| score | threshold | |
|---|---|---|
| logloss | 0.168495 | nan |
| auc | 0.981532 | nan |
| f1 | 0.960352 | 0.500813 |
| accuracy | 0.960699 | 0.500813 |
| precision | 0.968889 | 0.500813 |
| recall | 0.951965 | 0.500813 |
| mcc | 0.921538 | 0.500813 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 222 | 7 |
| Labeled as 1 | 11 | 218 |
f1
16.6 seconds
| score | threshold | |
|---|---|---|
| logloss | 0.474809 | nan |
| auc | 0.91213 | nan |
| f1 | 0.895323 | 0.491758 |
| accuracy | 0.89738 | 0.491758 |
| precision | 0.927632 | 0.562244 |
| recall | 1 | 0.180071 |
| mcc | 0.795374 | 0.491758 |
| score | threshold | |
|---|---|---|
| logloss | 0.474809 | nan |
| auc | 0.91213 | nan |
| f1 | 0.895323 | 0.491758 |
| accuracy | 0.89738 | 0.491758 |
| precision | 0.913636 | 0.491758 |
| recall | 0.877729 | 0.491758 |
| mcc | 0.795374 | 0.491758 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 210 | 19 |
| Labeled as 1 | 28 | 201 |
| Model | Weight |
|---|---|
| 10_Xgboost | 5 |
| 13_LightGBM | 1 |
| 41_CatBoost | 1 |
| 42_CatBoost | 2 |
| score | threshold | |
|---|---|---|
| logloss | 0.450385 | nan |
| auc | 0.983524 | nan |
| f1 | 0.973568 | 0.501504 |
| accuracy | 0.973799 | 0.501504 |
| precision | 1 | 0.672646 |
| recall | 1 | 0.255591 |
| mcc | 0.947743 | 0.501504 |
| score | threshold | |
|---|---|---|
| logloss | 0.450385 | nan |
| auc | 0.983524 | nan |
| f1 | 0.973568 | 0.501504 |
| accuracy | 0.973799 | 0.501504 |
| precision | 0.982222 | 0.501504 |
| recall | 0.965066 | 0.501504 |
| mcc | 0.947743 | 0.501504 |
| Predicted as 0 | Predicted as 1 | |
|---|---|---|
| Labeled as 0 | 225 | 4 |
| Labeled as 1 | 8 | 221 |